417 research outputs found

    Cross-Platform Presentation of Interactive Volumetric Imagery

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    Volume data is useful across many disciplines, not just medicine. Thus, it is very important that researchers have a simple and lightweight method of sharing and reproducing such volumetric data. In this paper, we explore some of the challenges associated with volume rendering, both from a classical sense and from the context of Web3D technologies. We describe and evaluate the pro- posed X3D Volume Rendering Component and its associated styles for their suitability in the visualization of several types of image data. Additionally, we examine the ability for a minimal X3D node set to capture provenance and semantic information from outside ontologies in metadata and integrate it with the scene graph

    Real-time volume rendering and tractography visualization on the web

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    In the field of computer graphics, Volume Rendering techniques allow the visualization of 3D datasets, and specifically, Volume Ray-Casting renders images from volumetric datasets, typically used in some scientific areas, such as medical imaging -- This article aims to describe the development of a combined visualization of tractography and volume rendering of brain T1 MRI images in an integrated way -- An innovative web viewer for interactive visualization of neuro-imaging data has been developed based on WebGL -- This recently developed standard enables the clients to use the web viewer on a wide range of devices, with the only requirement of a compliant web-browser -- As the majority of the rendering tasks take place in the client machine, the effect of bottlenecks and server overloading are minimized -- The web application presented is able to compete with desktop tools, even supporting high graphical demands and facing challenges regarding performance and scalability -- The developed software modules are available as open source code and include MRI volume data and tractography generated by the Diffusion Toolkit, and connectivity data from the Connectome Mapping Toolkit -- Our contribution for the Volume Web Viewer implements early ray termination step according to the tractography depthmap, combining volume images and estimated white matter fibers -- Furthermore, the depthmap system extension can be used for visualization of other types of data, where geometric and volume elements are displayed simultaneousl

    Comparative Study of Web3D Standard Format to Determine the Base Format for A Web3D Framework

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    With the current Web3D document format, users are  forced  to  choose certain  document formats to  use,  either during development with a particular tool  or when it will be displayed in a browser. Only one format that can be processed by any browser at one given time. This raises the main problem of not allowing users to display a variety of objects with different formats in their browser. For this problem, a Web3D framework can be the solution, as it will provide format conversion for the browser. The conversion itself requires an appropriate base format as the conversion goal. Since there are many formats that have been implemented by users, a comparison has to be done for the purpose of choosing the suitable format. In this study, comparisons have been made to obtain some information. The information required is the complexity of each document in describing a 3D object in the browser, as well as the performance of the particular format. Web3D formats compared in this research are the standard ones: VRML and X3D. Various specific description of object formation have also been selected as sample representation for each format. Based on comparisons in the representation information of each standard format, X3D is the more suitable format for this need. As a standard format representation, the results obtained can be used for further comparisons with non-standard or proprietary formats. This information is needed to determine the final   base  format  for   the  framework  to   be   developed   in subsequent research.

    Developing an Interactive Knowledge-Based Learning Framework

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